4,748 rated or chosen profiles from 432 respondents, in up to 11 tasks of 1 profile varying on 3 attributes.
| Description | Indian pedodontists rated how likely they were to use atraumatic restorative treatment (ART) in 11 hypothetical child-patient scenarios that varied the child's age, cooperation and vulnerability status. 432 respondents, 11 single-profile scenarios, one rating (1 = very likely to 5 = very unlikely). |
|---|---|
| Reference | Nadar, B., G. V., U., Almalki, S. A., & Gowdar, I. M. (2024). Understanding decision making for the use of atraumatic restorative approach based on non-clinical factors by Indian pedodontists: a conjoint analysis. F1000Research, 13, 1401. |
| DOI | 10.12688/f1000research.157561.1 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.27188796 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 432 |
|---|---|
| Rows (one per respondent, task and profile) | 4,748 |
| Tasks per respondent (most) | 11 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | health covid |
|---|---|
| A profile represents | person |
| Country | IN |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | recorded in the deposit |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| rating | How likely are you to use ART in this scenario? (paraphrase of 'rate how likely they were to use ART') [rating, 1 (very likely) to 5 (very unlikely)] |
|---|
attr_ageattr_cooperationattr_vulnerabilitycov_art_viewcov_gendercov_practice_typecov_years_practiceidprofileratingtask
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("nadar_2024_art_pedodontists", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("nadar_2024_art_pedodontists", source="conj")
@article{Nadar_2024, title={Understanding decision making for the use of atraumatic restorative approach based on non-clinical factors by Indian pedodontists - a conjoint analysis.}, volume={13}, ISSN={2046-1402}, url={http://dx.doi.org/10.12688/f1000research.157561.1}, DOI={10.12688/f1000research.157561.1}, journal={F1000Research}, publisher={F1000 Research Ltd}, author={Nadar, Bhuvaneshwari and GV, Usha and Almalki, Sultan and Gowdar, Inderjit}, year={2024}, month=Nov, pages={1401} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |